Yaghoub Azizi
Shahid Beheshti University, Amirkabir University of Technology
Papers
3
Total Citations
18
H-Index
2
About
Yaghoub Azizi is a robotics researcher whose work focuses on the control and design of robotic manipulators, particularly those with redundant degrees of freedom. His key research areas include adaptive control, singularity avoidance, and the compensation of environmental effects such as temperature-dependent friction in mechanical systems. Azizi’s most cited paper, “Passivity‐based adaptive control of a 2‐DOF serial robot manipulator with temperature dependent joint frictions” (2019, 13 citations), addresses a critical challenge in robotics: how friction forces, which vary with temperature, can destabilize systems if left uncompensated. This work proposes a passivity-based adaptive control strategy to maintain stability and performance across a wide range of operating temperatures. In earlier contributions, Azizi developed an adaptive control algorithm to improve singularity avoidance in 7-DOF redundant manipulators (2014, 4 citations), showing how small perturbations near singularities can cause system instability and physical damage. He also contributed to the mechanical design, implementation, and tracking control of a seven-degree-of-freedom redundant manipulator using a discontinuous Lyapunov-based controller (2014, 1 citation). Through these efforts, Azizi has advanced the practical reliability and robustness of robotic systems operating under real-world, variable conditions.
Research Focus
Key Achievements
Top Papers
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